Data Engineer

About SkillersZone LLC:SkillersZone LLC stands at the forefront of affiliate marketing and recruitment software solutions. Our mission is to empower businesses to enhance their marketing and recruitment strategies through cutting-edge, user-friendly technology. We are on the lookout for a skilled Data Engineer to become a key member of our team. In this role, you will be instrumental in designing and building the infrastructure that underpins the collection, storage, and processing of extensive data sets, ensuring reliable access to vital information that drives our strategic decisions and fosters innovation.Position Overview:As a Data Engineer, you will play a pivotal role in crafting, maintaining, and optimizing data pipelines that facilitate the smooth collection, storage, and processing of data across various systems. You will collaborate closely with data scientists, analysts, and other stakeholders to guarantee that data is not only accessible but also accurate and trustworthy for business analysis and informed decision-making.

About KasadaBecome part of our mission to eliminate bad bots from the internet! At Kasada, we safeguard millions of online users daily. Established to combat automated bot attacks, we envision a secure internet for all. Bad bots wreak havoc; they hijack accounts, pilfer content, overwhelm systems, and contribute to billions in annual damages. Our goal is to restore trust in the internet by intercepting bots right at their first request, including those that are entirely novel.From humble beginnings in a shipping container beneath the Sydney Harbour Bridge, Kasada has expanded its reach globally, now protecting some of the world’s most recognized brands.We are a team driven by curiosity, unafraid to propose innovative solutions to complex problems. We seek individuals who are enthusiastic about addressing significant cybersecurity challenges while enjoying the journey!In this pivotal role, you will be instrumental in reshaping our data platform, transitioning it from a conventional ETL-based warehouse to a powerful, agile data architecture. Your primary objective will be to eradicate latency issues in our current system, propelling us towards a platform that supports rapid query performance for real-time portal metrics, as well as developing models for data science and internal diagnostics.You will collaborate closely with our Data Analytics, Customer-Facing Portal, and Data Science teams, constructing data solutions that enable them to uncover deeper insights and facilitate crucial business decisions. This position demands extensive collaboration; you will engage with diverse stakeholders to comprehend their requirements and design the necessary infrastructure and technologies, ingestion processes, and data applications to meet them. Whether enhancing a customer-facing dashboard or an internal diagnostic tool, you'll ensure our data is accessible, swift, and dependable, all while advocating for engineering excellence and shaping our technical future.

Role Overview Plenti is looking for a Data Engineer in Sydney to help strengthen and improve our data infrastructure. This position works with teams across the business to design, build, and maintain data pipelines that support analytics and business intelligence efforts. What You Will Do Collaborate with colleagues from different departments to understand data needs Design and develop data pipelines for reliable data flow Maintain and optimize existing data infrastructure Support analytics and business intelligence projects by ensuring data is accessible and accurate About You Experience building and maintaining data pipelines Strong interest in using data to inform business decisions and improve user experiences Comfortable working with cross-functional teams This role is based in Sydney.

Join Riot Games as a Senior Data Engineer on a 12-month contract and play a pivotal role in enhancing the player experience globally. Our data engineers harness petabytes of information and cutting-edge processing technology to create innovative solutions.In this position based in Sydney, you will spearhead the modernization of our data platform, focusing on improving reliability, governance, and scalability. You will lead architectural refactoring efforts within our lakehouse environment, consolidate and standardize data models, and establish a clear Bronze/Silver/Gold medallion hierarchy. Your expertise will be crucial in implementing robust data quality and observability frameworks for mission-critical datasets, operationalizing data ownership and tiering standards, and enhancing metadata completeness and lineage transparency throughout our data catalog and warehouse ecosystem.Collaborating closely with cross-functional stakeholders, you will help transform the data environment into a trusted, production-grade platform that supports operational decision-making, executive reporting, and advanced analytics.

Collaborate with a talented team on innovative projects and diverse clients.Utilize your expertise in AWS, data management, and DevOps cloud operations.Take the lead in designing and developing advanced data lake and Kafka solutions.About Itoc:At Itoc, we streamline and mitigate the risks involved in our clients' transition to the cloud. We are a prestigious cloud consulting, engineering, and managed services firm with an established history of aiding clients in their cloud strategies, implementations, and operational needs.As a premier consulting partner with Amazon Web Services, we prioritize building relationships grounded in integrity and our commitment to a no-failed-project philosophy.Culture and intellect are essential to our success—bring your unique skills and insights. This is not your typical working environment; you will be collaborating with some of the brightest minds in the cloud industry.We believe in hard work intertwined with enjoyment.The Opportunity:We are expanding our Data Team in Sydney and seeking individuals with strong technical leadership potential. This is an exciting opportunity to work with contemporary data architectures, including data lakes, Apache Kafka, databases, and data transformation using Python and SQL.As a Senior Data Engineer, you will create foundational, robust, and production-ready data platforms that facilitate business data discovery, self-service capabilities, and AI/ML functionalities across various clients and sectors, empowering them to maximize their data assets. You will be responsible for:Enhancing our expertise in key data focus areas;Data Lakes and Modern Data ArchitecturesRelational Databases and Data WarehousesApache Kafka clusters and servicesKeeping our clients ahead of the curve by leveraging the latest data technologies and tools.Contributing to our expanding portfolio of data solutions.Ongoing optimization and management of data platforms.Designing and developing data ingestion, transformation, and presentation pipelines.Promoting data best practices to our clients.The Ideal Candidate:To succeed in this role, you should possess:A passion for data!Experience with data lakes, databases, and pub/sub solutions.The ability to analyze business scenarios and the associated data landscape to uncover potential opportunities.Excellent communication skills and the ability to work collaboratively.

About TMGMTMGM is a rapidly expanding CFD and Forex broker in the Asia-Pacific region, with a trust base of over 150,000 clients worldwide. Our commitment to innovation, exceptional client service, and strict regulatory compliance drives our growth as we expand into global markets.About the RoleWe are seeking a talented Senior Data Engineer who will play a pivotal role in leading the development of our high-performance, real-time data ecosystem. You will be responsible for the architecture, scalability, and reliability of our data infrastructure, utilizing technologies such as Kafka, RabbitMQ, Airflow, and ClickHouse to deliver essential financial analytics. Your expertise will ensure our data pipelines meet the demanding needs of real-time financial data processing while bridging complex business requirements with top-tier engineering solutions.

About BrighteAt Brighte, we are dedicated to making consumer energy resources (CER) not just affordable, but accessible to everyone.We are pioneering a platform that simplifies the energy transition, allowing for a seamless and secure experience in buying and selling energy equipment. Our visionary founder and CEO, Katherine McConnell, was honored as the Telstra Businesswoman of the Year in 2020 and received the Sustainability Crusader award at B&T's 2023 Women Leading Tech Awards. She embodies a passionate and down-to-earth leadership style, prioritizing a human-first approach in business. In our journey towards 2025, we have been recognized as one of the AFR Sustainability Leaders in the Banking and Finance category and celebrated with the inaugural Sustainability Award at the Affies in 2024! About the RoleAs Brighte's Data Engineer, you will be responsible for the essential infrastructure that ensures our data is reliable, scalable, and primed for AI applications. This includes managing our ELT pipelines (Airflow + dbt), the Snowflake Data Warehouse, and our overarching data architecture.You will collaborate closely with our Analytics Engineering and Analytics teams, all with the singular aim of providing high-quality, traceable data that can be trusted and utilized by our business.If you thrive on tackling infrastructure challenges and aspire to shape the future of a modern data stack, this opportunity is tailored for you. What You'll DoDesign and maintain Brighte’s data infrastructure.Enhance and maintain the ELT (Extract, Load, Transform) pipeline, our data architecture, and relational data models.Establish testing suites and control mechanisms to ensure a ‘single source of truth’ for the business.Work alongside our IT Operations team to ensure Snowflake platform administration is effective.Oversee Snowflake database administration.Identify, define, and implement improvements in data processes to maximize value from existing and potential data sources.Promote a culture driven by data.Architect solutions for real-time data pipelines and AI use cases.Effectively communicate ideas and insights across the team.

At Neara, we're revolutionizing the energy sector with innovative technology. Imagine the ability to simulate the resilience of an entire power grid against a hurricane, all before the storm approaches. This is the groundbreaking work we do, leveraging advanced machine learning to create engineering-grade digital twins of electricity grids across four continents. Our solutions empower asset owners to identify their most pressing challenges and implement effective strategies across vast infrastructures.By simulating extreme weather scenarios and structural stress across networks, we enable major utilities to better understand risks, optimize their investments, and contribute to a more resilient global energy future.Our talented team is dedicated to making a real impact in the world, using AI and machine learning to enhance everything from data classification to intricate scenario analyses. We foster a culture of innovation where every team member is committed to our mission, and we are seeking intelligent, creative individuals to help expand this mission globally.We are currently seeking a Lead Data Engineer to spearhead the development of Neara's emerging data and integration platforms, essential for our digital twin applications.In this role, you will engage in extensive collaboration with our multidisciplinary team, including delivery, engineering, and product specialists, to meet key client needs. A robust T-shaped skill set in software engineering, data engineering, and data science is required.As an early data engineering hire, you will take on greenfield projects, enjoying significant autonomy and complete ownership of our data and integration platforms. We expect you to champion data engineering excellence, adeptly navigate uncertainties, and rapidly adapt to evolving landscapes while gaining a strong understanding of the challenges this role addresses, supported by our exceptional team.Join us at Neara, where your ideas are valued, your development is supported, and your successes are celebrated.

About Ticketek Entertainment GroupAt Ticketek Entertainment Group, we are dedicated to creating unforgettable live experiences for fans around the globe. Our mission is to enhance the way people engage with live events, making every occasion a remarkable memory. We operate a diverse portfolio, including our Fan Experience Platform (Ticketek), which sells tickets and offers added services, as well as promoting events across various sectors, including sports (TEG Sport), touring (TEG Touring), and family experiences (TEG Experiences). Additionally, our digital division, Ovation, focuses on delivering seamless, data-driven outcomes for fans and partners alike.About the Role:As a Data Engineer, you will leverage your strong technical skills in solution design, architecture, and coding to significantly impact our data engineering initiatives. You will provide technical guidance, mentor junior engineers, and collaborate with business and product teams, all while continuously honing your skills with the latest technologies and industry best practices.What You Will Do:Ensure compliance with data privacy, security, observability, and governance standards.Collaborate with architects and senior engineers to design resilient, high-performance data solutions.Construct scalable data pipelines for data ingestion, processing, and exposure using technologies such as Snowflake, AWS Redshift, Kinesis, Lambda, DynamoDB, S3, Glue, and Apache Storm.Develop batch and streaming data solutions utilizing Apache Kafka, Apache Spark, Airflow, and Delta Lake for both real-time and scheduled data processing.Design and implement event-driven data architectures using streaming frameworks like Kafka Streams and Kinesis Data Firehose.Establish Data Quality, Data Lineage, and Observability frameworks.Create CI/CD pipelines using tools like GitHub Actions and Terraform.Work closely with Site Reliability Engineers to ensure the stability and uptime of production pipelines and services.Continuously seek opportunities for performance enhancement, cost optimization, and process efficiency.Collaborate with Data Scientists to ensure high-quality data for Machine Learning models and integrate them into production-ready pipelines.Be responsible for technical delivery, proactively identifying risks and solutions while coordinating with engineers, BAs, QAs, and Project Managers (PMs) to guarantee the successful execution of data initiatives.

Join our dynamic team at Cuscal Limited as a Data Engineer specializing in SAP BODS. In this role, you will leverage your expertise to design, implement, and optimize data solutions that drive business insights and improve operational efficiency. You will work collaboratively with cross-functional teams to deliver high-quality data solutions that meet the needs of our clients.

Join Our Journey of InnovationFor nearly six decades, Coates Group has been at the forefront of forging meaningful connections between some of the globe's most recognized brands and their customers. While we take pride in our achievements, we recognize that this is just the beginning of our adventure!As a global technology leader, we specialize in crafting dynamic, intelligent, personalized, and engaging customer experiences. Our offerings include a diverse range of digital hardware, an exclusive content management system, and industry-leading signage solutions. If you've ordered at a McDonald's drive-thru in recent years, you likely interacted with our innovative digital solutions. Operating in over 50 international markets and with nine offices worldwide, our global headquarters resides proudly in Sydney, Australia, where our story began.At Coates Group, we embody the values of a family-owned enterprise coupled with the innovative drive of a start-up. This unique combination fuels our mission – Creating Connections. Empowering Partnerships. Always Evolving. Through commitment, creativity, and hard work, we've emerged as industry leaders, earning accolades and setting benchmarks while maintaining a focus on continuous growth and evolution. We are proud recipients of the Australia Good Design Award and have completed the largest hardware deployment in Quick Service Restaurant history.Our team is characterized by curiosity, authenticity, and a celebration of diversity. We are visionaries, kindness advocates, experts, creators, thinkers, challengers, collaborators, and high achievers. Together, we are redefining how the world's leading brands utilize technology to enhance customer experiences.We are seeking a Senior Data Engineer to take charge of our data infrastructure, architecting solutions, developing scalable frameworks, and creating robust data pipelines that empower data-driven decision-making across Coates Group. You will lead comprehensive data engineering projects, collaborating with cross-functional teams to design, build, and optimize solutions that transform complex data into reliable, business-ready assets.From overarching platform strategies to hands-on pipeline development, you will enhance performance, reliability, and innovation throughout our data landscape. You will also adapt to evolving priorities, troubleshoot critical issues, and perpetually refine our data ingestion, transformation, and distribution processes, ensuring our foundations are secure, scalable, and primed for future growth.

Collaborate with a talented team on exciting projects and diverse clienteleEnhance your expertise in AWS, Data, and DevOps cloud operationsAlready familiar with AWS? We'll teach you the advanced skills!About itoc:We fast-track and mitigate the risks in our clients' transition to the cloud.As an award-winning provider of cloud consulting, engineering, and managed services, we have a solid history of guiding clients through their cloud strategies, implementations, and operations.Being a leading consulting partner with Amazon Web Services, we prioritize integrity and a commitment to successful projects.Culture and intelligence matter to us. Bring your unique skills to our dynamic environment where you will collaborate with some of the best minds in the cloud sector.We put in the hard work, but we also know how to have fun!The Opportunity:We are expanding our Data Team in Sydney and are seeking individuals eager to advance both technically and professionally. Your role will involve working with databases, data lakes, data warehouses, and data transformation using Python and SQL, while enabling AI/ML functionalities.As a Data Engineer, you will implement robust, production-ready data platforms that facilitate business data discovery, self-service capabilities, and AI/ML functions across various client types and industries, empowering them to leverage their data effectively.Key Responsibilities Include:Deploying data repositories, such as lakes and warehouses.Contributing to our expanding portfolio of data solutions.Ongoing optimization and management of data platforms.Developing transformational logic for data pipelines.Promoting data best practices to our clients.

About Itoc:At Itoc, we enhance and mitigate risks in our clients' transition to the cloud.As an award-winning provider of cloud consulting, engineering, and managed services, we boast a solid track record in guiding clients through their cloud strategy, implementation, and operational phases.Recognized as a premier consulting partner of Amazon Web Services, we cultivate relationships grounded in integrity and a commitment to a no-fail project philosophy.We value culture and intelligence; bring your unique talents to our extraordinary environment where you will collaborate with some of the brightest minds in the Cloud sector.While we work diligently, we also prioritize enjoyment in our work.The Opportunity:We are seeking a Head of Data Engineering to play a crucial role in the Itoc leadership team in Sydney, contributing to the growth of our dynamic cloud consulting and engineering business. This multifaceted role allows you to leverage your project management, people leadership, and technical skills while engaging with customers.The Head of Data Engineering will be instrumental in further developing our Sydney-based Data Engineering capabilities, serving a diverse range of high-profile clients nationwide.Join us on this exciting growth journey! Key Responsibilities:Provide thought leadership to propel the growth of our data practice through effective talent management and project oversight.Collaborate closely with sales teams during the requirements gathering and opportunity lifecycle processes.Create Statements of Work (SOW) and propose strategies to expand the Data and Cloud practice among both new and existing clients.Optimize team performance and foster a positive culture.Deliver essential architectural and design contributions to next-generation cloud solutions utilizing IaaS and PaaS models.Ensure the effectiveness of our management processes with a focus on continuous improvement.Lead the adoption of DevOps and Agile methodologies, processes, and tools.Contribute to the ongoing refinement and improvement of Itoc’s internal and external processes and service catalog.Support the achievement and retention of Itoc’s industry certifications and accreditations, including individual business and technical certifications.The Person:We are looking for a candidate who can fully engage with our company culture. As we continue to expand rapidly, we need someone who can help shape our path and offer their diverse perspectives to the Itoc team.

About UsAt Employment Hero, we strive to transform the employment landscape, making it easier and more rewarding for all. Our innovative Employment Operating System integrates hiring, HR, payroll, and benefits into one cohesive solution.Founded in 2014, we've rapidly expanded our footprint, achieving a valuation of $2 billion and establishing our presence across six countries: Australia, New Zealand, Singapore, Malaysia, the UK, and Canada. We proudly serve over 350,000 businesses and support more than 2 million employees globally.Our CultureWe take pride in our distinct culture, known as The EH Way:Mission Driven: Every action we take is aligned with our mission.Remote First: We promote a remote-first approach with a focus on asynchronous communication and autonomy.AI First: AI is integral to our operations, driving our innovations and scaling efforts.Apolitical: We maintain neutrality on political and social issues unless they pertain to our mission.Values-Oriented: Our values guide our actions 100% of the time.High Performance: We set ambitious standards and strive for excellence.Role OverviewAs the Data Platform Manager, you will spearhead our Data Engineering and Analytics Engineering teams across Australia, Canada, and Vietnam. This position is ideal for a technical leader who can shape strategy and execution, critically evaluate technical proposals, and play an active role in enhancing our data and AI capabilities.Your mandate will focus on delivering our AI-powered self-service analytics platform, treating it as a product with iterative improvements, performance metrics, and a comfort with uncertainty.Key ResponsibilitiesBuild and nurture a high-performing Data and Analytics Engineering team functioning seamlessly across three time zones, ensuring ownership, speed, and accountability.Design and enhance a scalable, resilient data platform that supports reliable reporting, analytics, and AI applications across the organization.Establish and implement a clear data platform strategy and roadmap that aligns with business objectives and delivers measurable outcomes.Empower teams with AI-driven, self-service analytics, enabling them to swiftly and confidently derive insights independently.Significantly enhance data reliability, performance, and trust, ensuring data serves as a solid foundation for decision-making.Minimize analytics backlog by refining tools, data models, and workflows, transitioning the team from reactive responses to proactive enablement.

Speechify helps over 50 million people turn reading materials, PDFs, books, Google Docs, news articles, and websites, into audio. Our text-to-speech apps span iOS, Android, Mac, Chrome, and web. Google named us Chrome Extension of the Year, and Apple awarded us the 2025 Design Award for Inclusivity. Our fully remote team of about 200 includes engineers, AI researchers, and alumni from Amazon, Microsoft, Google, Stripe, Vercel, Bolt, and top academic programs. We work across time zones to build tools that make reading more accessible for everyone. Role overview Speechify’s AI division is looking for a Software Engineer focused on Data Infrastructure & Acquisition. This role centers on collecting and managing large-scale audio data to support model training. The team builds and maintains systems that create high-quality datasets at petabyte scale, balancing efficiency and cost. What you will do Find and source new audio data, then integrate it into our ingestion pipeline. Maintain and improve our cloud infrastructure for data ingestion, currently running on Google Cloud Platform and managed with Terraform. Partner with scientists to optimize for cost, throughput, and data quality, delivering large-scale datasets efficiently for new model development. Work with the AI team and company leadership to plan the dataset roadmap for future consumer and enterprise products. Location This position is based in Sydney, Australia.

About Future Secure AI Future Secure AI builds advanced artificial intelligence solutions for real-world challenges across multiple industries. The company values bravery, rigor, and curiosity, with a leadership team that encourages open communication and professional growth. Co-developed with major financial institutions, Future Secure AI combines startup agility with enterprise backing. The focus: developing agentic AI Co-workers, autonomous systems that help organizations work smarter and faster. Employees work closely with C-suite leaders and international partners to create AI Co-workers that think, act, and collaborate. The goal is to transform how people and AI work together. Role Overview: Senior AI Engineer in Data Science This Senior AI Engineer role centers on building agentic AI Co-workers, multi-step reasoning systems, and autonomous workflows for enterprise use. The position involves designing and implementing advanced large language model (LLM)-driven agents that plan, make decisions, and act independently. Safety, reliability, and scalability remain top priorities throughout development. The Senior AI Engineer helps set the technical direction for the AI platform, mentors junior engineers, and ensures systems deliver strong results in complex environments. The work directly shapes how humans and AI collaborate. Key Responsibilities Design, develop, and deploy agentic LLM-driven systems with planning, tool-use, workflow orchestration, and reasoning features. Apply machine learning and advanced analytics to improve decision-making for autonomous AI Co-workers. Enhance multi-step reasoning, context management, and system responsiveness. Locations Sydney, Melbourne, Brisbane

About Future Secure AI Future Secure AI develops advanced artificial intelligence solutions for global enterprises. The company focuses on solving real-world challenges across various sectors, guided by BRAVER values and a culture that values curiosity, diligence, and courage. Leadership maintains an open-door policy, supporting both professional growth and individual contributions. Collaboration with leading minds and the pursuit of meaningful work are central to the company’s mission. Company Overview Future Secure AI operates as a fast-growing frontier-AI company, co-developed with a major global financial institution. The team combines startup agility with enterprise-level backing. The core mission: create agentic AI Co-workers, autonomous systems designed to reason, act, and work alongside people to boost productivity and transform organizational performance. With direct access to C-suite leaders and a growing network of international partners, the company aims to develop AI Co-workers that can think, act, and collaborate, reshaping how workplaces function. Role Overview: Senior Staff AI Engineer in Data Science The Senior Staff Data Scientist takes on a key technical leadership role, driving the development of agentic AI Co-workers, complex multi-step reasoning systems, and scalable autonomous workflows for enterprise use. This position designs and implements advanced large language model (LLM) agents capable of planning, decision-making, and action execution at scale, with a strong focus on safety and reliability. Influence over the technical direction of the agentic AI platform is central to this role. Responsibilities include mentoring emerging talent and ensuring that systems remain resilient, well-aligned, and effective in delivering results within complex environments. Work in this role directly shapes the future of human-AI collaboration. Locations Sydney Melbourne Brisbane

We are seeking a visionary and experienced Director of Data Centre Architecture to lead our data centre architecture team at AECOM in Sydney. In this role, you will be responsible for overseeing the design and implementation of cutting-edge data centre solutions that meet the demands of our clients. You will work closely with cross-functional teams to ensure that our architectural solutions are innovative, sustainable, and aligned with industry best practices.

Join Canva as a Staff Software Engineer on our dynamic Data Synchronization Team! We are looking for talented engineers proficient in Golang and Python to help us enhance our data synchronization capabilities. This is a fantastic opportunity to work with cutting-edge technologies on an impactful project that serves millions of users worldwide. As part of our collaborative team, you will be responsible for designing and implementing scalable systems that ensure seamless data integration across various platforms.

About auspayplus auspayplus (AP+) brings together BPAY Group, eftpos, and NPP Australia, forming a unified organization at the center of Australia’s domestic payments. This integration aims to strengthen the country’s payments system, supporting innovation and addressing regulatory and technology changes. AP+ values collaboration and welcomes people from all backgrounds, abilities, and identities. Role Overview: Data Governance Manager The Data Governance Manager leads the development and ongoing improvement of AP+’s enterprise data governance. This role shapes frameworks, ownership models, and operational practices to manage critical data assets across their lifecycle. Working closely with Data, Technology, and Business teams, the manager drives data quality and stewardship while ensuring compliance with regulatory and risk management standards. Main Responsibilities Design, maintain, and enhance the Data Governance Framework, including a maturity roadmap and target operating model that align with enterprise strategy. Set up and uphold enterprise-wide data ownership and stewardship models, ensuring critical datasets are identified, classified, and assigned clear accountability. Oversee metadata management, including the business glossary, metadata standards, and data lineage for essential datasets. Define and enforce standards for data lifecycle management, covering data retention, archival, and disposal. Work with data teams to establish data quality metrics, monitor Critical Data Elements (CDEs), and lead remediation and issue resolution efforts. Ensure governance practices comply with regulatory requirements (such as APRA CPS230, CPS234, Privacy Act, CDR) and integrate these into daily operations. Manage data-related risks, aligning governance controls with the broader enterprise risk management and information security frameworks. Promote continuous improvement by equipping Data Stewards with tools, training, and guidance. Embed data governance into enterprise platforms and tools (such as Snowflake), as well as across projects, change initiatives, and business-as-usual activities.